CARBayes-package        Spatial Generalised Linear Mixed Models for
                        Areal Unit Data
MVS.CARleroux           Fit a multivariate spatial generalised linear
                        mixed model to data, where the random effects
                        are modelled by a multivariate conditional
                        autoregressive model.
S.CARbym                Fit a spatial generalised linear mixed model to
                        data, where the random effects have a BYM
                        conditional autoregressive prior.
S.CARdissimilarity      Fit a spatial generalised linear mixed model to
                        data, where the random effects have a localised
                        conditional autoregressive prior.
S.CARleroux             Fit a spatial generalised linear mixed model to
                        data, where the random effects have a Leroux
                        conditional autoregressive prior.
S.CARlocalised          Fit a spatial generalised linear mixed model to
                        data, where a set of spatially smooth random
                        effects are augmented with a piecewise constant
                        intercept process.
combine.data.shapefile
                        Combines a data frame with a shapefile to
                        create a SpatialPolygonsDataFrame object.
highlight.borders       Creates a SpatialPoints object identifying a
                        subset of borders between neighbouring areas.
print.carbayes          Print a summary of a fitted carbayes model to
                        the screen.
summarise.lincomb       Compute the posterior distribution for a linear
                        combination of the covariates from the linear
                        predictor.
summarise.samples       Summarise a matrix of Markov chain Monte Carlo
                        samples.
